Deforestation Through Wildfire: One Health-Based Youth Storytelling to Facilitate Education and Awareness
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Deforestation by wildfires is a complex issue with numerous impacts on the health of humans, non-human animals, and the environment including resource depletion, habitat loss, and reduced biodiversity. While previous interventions have targeted the immediate downstream effects of wildfires, few actions involve upstream One Health approaches. This paper discusses a cost-effective action rooted in youth education as a preventative strategy for accidental wildfires. A story-based pamphlet was written to engage students from Grades 1 to 6 in Kingston, Ontario. To educate youth on the causes and effects of accidental wildfires using storytelling, this story was read to 27 children prior to engagement in grade-specific discussions. This action ultimately supports knowledge dissemination to foster awareness of wildfire prevention for future generations, improving outcomes for humans, non-human animals, and the environment.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it